A Generalized Quantile Tree Method for Subgroup Identification

DOI10.1080/10618600.2022.2032723OpenAlexW4206915945MaRDI QIDQ5057092

Huixia Judy Wang, Xiang Peng

Publication date: 15 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2022.2032723

zbMATH Keywords

recursive partitioningsubgroup analysisregression treequantile treatment effectrank score

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Estimating treatment effect heterogeneity in randomized program evaluation
• Detection of treatment effects by covariate-adjusted expected shortfall
• Composite quantile regression and the oracle model selection theory
• Inference for censored quantile regression models in longitudinal studies
• Confidence intervals for the means of the selected populations
• Analysis of randomized comparative clinical trial data for personalized treatment selections
• Tests of linear hypotheses based on regression rank scores
• L-Estimation for Linear Models
• Goodness of Fit and Related Inference Processes for Quantile Regression
• Effectively Selecting a Target Population for a Future Comparative Study
• Inference on Selected Subgroups in Clinical Trials

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